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Required tools and utilities: OICS Cloud Integration, SQL,PLSQL, XML, JAVA, J2EE, SOA, JSON, Oracle OAF, Salesforce, Business EventsEngine, EIBs, DIS, MuleSoft Integration, Workday Connectors (CCW’s), WebServices, REST API, TDS, Workday Prism, and Oracle DB.
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Big Data, Discovery, Hadoop, Hortonworks, Cloudera, MapR, Pig, Hive, HBase, Oozie, Ambari, SQL-H. - Big Data, Discovery, Hadoop, Hortonworks, Cloudera, MapR, Pig, Hive, HBase, Oozie, Ambari, SQL-H.
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Functional knowledge of SQL, Data Visualization tools Tableau, Qlik, Looker on Google Cloud/Teradata. Partnering with Business, Strategy, Operations, AI & Data Analytics organizations to identify and implement AI products, use cases and storytelling with insights for workforce planning solutions.
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Understanding of data modeling and data engineering, including SQL and/or Python Advanced technology skills with deep knowledge in data segmentation and analytics platform usage.
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Extensive experience (8-10 years) with Java Enterprise, Java application servers (such as Websphere, Weblogic, or JBOSS), and relational databases (Oracle, DB2, or SQL Server). Stay updated with industry best practices and emerging technologies related to data engineering and cloud computing.
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Java/JEE, Spring, Spring boot, REST/SOAP web services, Hibernate, SQL, Tomcat, Application servers (WebSphere), SONAR, Agile, AJAX, Jenkins etc. Familiar with tools/utilities such as Bitbucket / Jira / Confluence, Big Data Developer.
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Experience in creating and developing innovative and insightful dashboards/reports that will allow stakeholders to gain effective insight that will inform business decisions Experience working within a high-growth, fast-paced technology company Excellent knowledge of SQL and working with Snowflake Experience using BI tools like, Tableau, DBT, PowerBI or any BI Reporting Tool and Data Visualization application.
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Familiarity with SQL & noSQL databases: Amazon Redshift / BigQuery / Amazon Athena / MongoDB. Currently enrolled in degree program in Computer Science or related quantitative discipline such as: Data Science, Statistics, Mathematics, Engineering, Physics, Economics, Computational Biology, Biostatistics, etc.
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Advanced knowledge of SQL, Python, R, or other programming languages commonly used in data analysis. Data Management: Procure, budget and maintain the necessary BI Licenses (i.e. Looker or Periscope) to relevant users in Digital Sales and key stakeholders.
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Experience with extracting data from SQL Databases and transforming it into EDI/XML/JSON documents. Define and implement strategies for integrating cross standard operating environments (SQL Data to EDI, XML to EDI, EDI to XML etc.
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Demonstrated ability to make data-driven decisions, proficient in analyzing datasets using SQL and BI tools (Looker, PowerBI, Tableau). Education in Computer Science, Data Science, Information Technology, or a related field.
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Financial Industry, particularly Equities, Options, Fixed Income and Futures trading and market data knowledge. Hands on experience with one or more querying languages such SQL (preferred), Oracle, MySQL and/or No SQL databases (Cassandra, MongoDB etc.
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Financial Industry, particularly Equities, Options, Fixed Income and market data knowledge. Data manipulation in DB for testing scenarios. Hands on experience in automating backend REST services including writing custom functions using tools such as Postman, REST Assured, Cypress, Ready API etc.
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Writing and optimizing SQL queries to extract, transform, and load data from various sources into Power BI datasets. Within our Business Services vertical, we help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
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Functional knowledge of SQL and data visualization tools such as Looker, Spotfire, or Tableau. Do you have a background in insight analysis, business intelligence or data governance.
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data sql jobs in Alpharetta, GA
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